Everything AI in Drupal: Past, Present, and What’s Next

1. Origins of AI in Drupal

Early experiments and community-driven efforts

Challenges in content generation and personalization

How the Drupal AI ecosystem began to form

2. The AI Module Landscape (Present Day)

Overview of major AI-focused Drupal modules and their use cases

Content creation (text/image)

Auto-tagging and classification

Personalization and recommendations

Integration strategies with third-party AI services (OpenAI, HuggingFace, etc.)

3. AI Agents in Drupal

Predefined Agents: Out-of-the-box agents for content support, Q&A, and automation

Custom Agents: Building entity-specific or contextual agents using LLMs and integrating with roles, workflows, or triggers

Use cases: Editor assistants, chatbot interfaces, guided workflows

4. Model Context Protocol (MCP) in Drupal

What is MCP? How it enables smarter AI by feeding Drupal context dynamically

Predefined MCP setups: Ready-made context processors

Custom MCP implementations: Designing your own context layers to tailor model outputs

5. The Road Ahead: New AI Initiatives in Drupal

Introduction to the latest community and product-level AI efforts

Future-proofing Drupal with scalable AI tooling

Vision for modular, decoupled, and context-aware Drupal + AI systems